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        • Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

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        • Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

          Advanced Data ETL, Reporting and Gen AI

          No-code data engineering
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          Enterprise-grade LLM

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Healthcare

Real-time Telemedicine Platform for Video-Consulting

02

Engineers

03

Months

60%

Increase in doctor-on-demand service for a hospital

Technology

Django, WebRTC, CoTURN, Kubernetes, PosgreSQL, Redis

Services

Product Conceptualization

Location

USA

Overview

The growing popularity of telemedicine presented an opportunity for our USA-based client to develop a comprehensive platform that enables seamless video consultations and efficient management of patient records. We were tasked with designing and developing a Minimum Viable Product (MVP) that effectively integrates virtual consultations with real-time access to medical history and treatment records. This solution aimed to improve healthcare accessibility and patient-doctor engagement while adhering to strict regulations around patient health information.

Challenges

High Level Design Architecture

Solutions

Result

The successful development of the telemedicine MVP improved patient-doctor engagement and made healthcare services more accessible. This solution facilitated timely and affordable specialized care while significantly saving time for healthcare professionals and patients.